Deep learning enhanced mobile-phone microscopy. - Yair Rivenson; Hatice Ceylan Koydemir; Hongda Wang; Zhensong Wei; Zhengshuang Ren; Harun Gunaydin; Yibo Zhang; Zoltan Gorocs; Kyle Liang; Derek Tseng; Aydogan Ozcan (CoRR, 2017)

Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery. - Yichen Wu; Yair Rivenson; Yibo Zhang; Zhensong Wei; Harun Gunaydin; Xing Lin; Aydogan Ozcan (CoRR, 2018)

Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue. - Yair Rivenson; Hongda Wang; Zhensong Wei; Yibo Zhang; Harun Gunaydin; Aydogan Ozcan (CoRR, 2018)

PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning. - Yair Rivenson; Tairan Liu; Zhensong Wei; Yibo Zhang; Aydogan Ozcan (CoRR, 2018)

Deep learning-based super-resolution in coherent imaging systems. - Tairan Liu; Kevin de Haan; Yair Rivenson; Zhensong Wei; Xin Zeng; Yibo Zhang; Aydogan Ozcan (CoRR, 2018)

Semantic Map Based Image Compression via Conditional Generative Adversarial Network. - Zhensong Wei; Zeyi Liao; Huihui Bai 001; Yao Zhao 001 (ICIG (3), 2019)

Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network. - Zhensong Wei; Chao Wang 089; Peng Hao 001; Matthew J. Barth (ITSC, 2019)

Developing an Adaptive Strategy for Connected Eco-Driving under Uncertain Traffic Condition. - Zhensong Wei; Peng Hao 001; Matthew J. Barth (IV, 2019)

Deep learning-based color holographic microscopy. - Tairan Liu; Zhensong Wei; Yair Rivenson; Kevin de Haan; Yibo Zhang; Yichen Wu; Aydogan Ozcan (CoRR, 2019)

Stage-GAN with Semantic Maps for Large-scale Image Super-resolution. - Zhensong Wei; Huihui Bai 001; Yao Zhao 001 (KSII Trans. Internet Inf. Syst., 2019)

Developing a Data-driven Modularized Model of a Plug-in Hybrid Electric Bus (PHEB) for Connected and Automated Vehicle Applications. - Zhouqiao Zhao; Zhensong Wei; Guoyuan Wu 001; Matthew J. Barth (ITSC, 2020)

End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning. - Zhensong Wei; Yu Jiang; Xishun Liao; Xuewei Qi; Ziran Wang; Guoyuan Wu 001; Peng Hao 001; Matthew J. Barth (CoRR, 2020)

Connected Vehicle-based Truck Eco-Driving: A Simulation Study. - Peng Hao 001; Zhensong Wei; Danial Esaid; Nigel Williams; Aravind Kailas; Pascal Amar; Kyle Palmeter; Lennard Levin; Stephen Orens; Matthew J. Barth; Kanok Boriboonsomsin (ITSC, 2021)

A Modularized Electric Vehicle Model-in-the-Loop Simulation for Transportation Electrification Modeling and Analysis. - Pingbo Ruan; Guoyuan Wu 001; Zhensong Wei; Matthew J. Barth (ITSC, 2021)

Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. - Zhensong Wei; Xuewei Qi; Zhengwei Bai; Guoyuan Wu 001; Saswat Priyadarshi Nayak; Peng Hao 001; Matthew J. Barth; Yongkang Liu 005; Kentaro Oguchi 001 (IV, 2022)

End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras. - Zhouqiao Zhao; Zhensong Wei; Danyang Tian; Bryan Reimer; Pnina Gershon; Ehsan Moradi-Pari (IV, 2023)